Methods and systems for managing communication sessions

ABSTRACT

A voice enabled device can assist a computing device, such as a server, in processing/analyzing a voice input. The voice enabled device can initiate a network communication session and transmit the voice input to the computing device. The computing device can classify the voice input as a type of communication session (e.g., conversation, etc . . . ). Based on the type of communication session, the computing device can either remain in communication with the voice enabled device and continue to process voice input or terminate the communication after instructing the voice enabled device to process the voice input.

BACKGROUND

Voice enabled devices configured to respond to a user's voice commandare becoming more ubiquitous. Typically, a user will initiate a networkcommunication session with a voice enabled device by speaking a routine(e.g., associated with stored information, correlative, etc . . . )command, such as “Hello.” During the network communication session, theuser can speak to the voice enabled device to request information,communicate information, execute commands, and the like. Voice/audiocaptured by the voice enabled device during a network communicationsession can be transmitted to a remote device, such as a server, forprocessing and analysis. To ensure that voice/audio captured by thevoice enabled device is processed timely by the remote device, openlines of communication (e.g., network sockets, web sockets, etc.)between the voice enabled device and remote device are maintained duringthe network communication session. The open lines of communicationconsume a significant amount bandwidth as well as network and processingresources. Command and response systems exist where certain commandstrigger a voice enabled device to open communications with a remotedevice and the communication is closed after a response is provided.Such systems are ineffective when a conversational flow ofcommunications is needed between the voice enabled device and the remotedevice, and the result is a poor user experience. These and othershortcomings are addressed by the present disclosure.

SUMMARY

It is to be understood that both the following general description andthe following detailed description are examples and explanatory only andare not restrictive. Provided are methods and systems for managingcommunication sessions. A voice enabled device can perform audio captureand speech recognition functions to assist a computing device, such as aserver, in processing and analyzing a voice input. The voice enableddevice can be configured with one or more microphones to detect a voiceinput, such as a voice command or audible query from a user. To processthe voice input, the voice enabled device can initiate a networkcommunication session with the computing device and transmit the voiceinput to the computing device.

The computing device can use natural language processing to analyze thevoice input and classify the voice input as a type of communicationsession (e.g., conversation, etc . . . ). For example, the type ofcommunication session can be a type of communication session associatedwith navigation (e.g., a request for directions, location information,etc . . . ), a type of communication session associated with commands(e.g., up, down, zoom in, zoom out, select, call “name of contact,”power device on, power device off, etc . . . ), a type of communicationsession associated with confirmation (e.g., yes, no, sure, cancel, etc .. . ), and/or a type of communication session associated with detailedvoice activity (e.g., a request for information, a request forcontent/item analysis, a detailed/extensive request/query, etc . . . ).Based on the type of communication session, the computing device canremain in communication with the voice enabled device and continue toprocess the voice input, or the computing device can instruct the voiceenabled device to process the voice input and terminate thecommunication with the voice enabled device. A network communicationsession between the voice enabled device and the computing device can bereestablished in the event that the voice enabled device is unable toprocess the voice input and/or receipt of a subsequent voice input fromthe user.

Additional advantages will be set forth in part in the description whichfollows or may be learned by practice. The advantages will be realizedand attained by means of the elements and combinations particularlypointed out in the appended claims:

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings, which are incorporated in and constitute apart of this specification, provide examples and together with thedescription, serve to explain the principles of the methods and systems:

FIG. 1 is an environment in which the present methods and systems canoperate;

FIG. 2 is a process for managing communication sessions;

FIG. 3 is a flowchart of an example method for managing communicationsessions;

FIG. 4 is a flowchart of an example method for managing communicationsessions;

FIG. 5 is a flowchart of an example method for managing communicationsessions; and

FIG. 6 is a block diagram of an example computing device in which thepresent methods and systems can operate.

DETAILED DESCRIPTION

Before the present methods and systems are disclosed and described, itis to be understood that the methods and systems are not limited tospecific methods, specific components, or to particular implementations.It is also to be understood that the terminology used herein is for thepurpose of describing particular embodiments only and is not intended tobe limiting.

As used in the specification and the appended claims, the singular forms“a,” “an,” and “the” include plural referents unless the context clearlydictates otherwise. Ranges may be expressed herein as from “about” oneparticular value, and/or to “about” another particular value. When sucha range is expressed, another embodiment includes from the oneparticular value and/or to the other particular value. Similarly, whenvalues are expressed as approximations, by use of the antecedent“about,” it will be understood that the particular value forms anotherembodiment. It will be further understood that the endpoints of each ofthe ranges are significant both in relation to the other endpoint, andindependently of the other endpoint.

“Optional” or “optionally” means that the subsequently described eventor circumstance may or may not occur, and that the description includesinstances where said event or circumstance occurs and instances where itdoes not.

Throughout the description and claims of this specification, the word“comprise” and variations of the word, such as “comprising” and“comprises,” means “including but not limited to,” and is not intendedto exclude, for example, other components, integers or steps. “Such as”is not used in a restrictive sense, but for explanatory purposes.

Disclosed are components that can be used to perform the disclosedmethods and systems. These and other components are disclosed herein,and it is understood that when combinations, subsets, interactions,groups, etc. of these components are disclosed that while specificreference of each various individual and collective combinations andpermutation of these may not be explicitly disclosed, each isspecifically contemplated and described herein, for all methods andsystems. This applies to all aspects of this application including, butnot limited to, steps in disclosed methods. Thus, if there are a varietyof additional steps that can be performed it is understood that each ofthese additional steps can be performed with any specific embodiment orcombination of embodiments of the disclosed methods.

The present methods and systems may be understood more readily byreference to the following detailed description of preferred embodimentsand the examples included therein and to the Figures and their previousand following description.

As will be appreciated by one skilled in the art, the methods andsystems may take the form of an entirely hardware embodiment, anentirely software embodiment, or an embodiment combining software andhardware aspects. Furthermore, the methods and systems may take the formof a computer program product on a computer-readable storage mediumhaving computer-readable program instructions (e.g., computer software)embodied in the storage medium. More particularly, the present methodsand systems may take the form of web-implemented computer software. Anysuitable computer-readable storage medium may be utilized including harddisks, CD-ROMs, optical storage devices, or magnetic storage devices.

Embodiments of the methods and systems are described below withreference to block diagrams and flowcharts of methods, systems,apparatuses and computer program products. It will be understood thateach block of the block diagrams and flowcharts, and combinations ofblocks in the block diagrams and flowcharts, respectively, can beimplemented by computer program instructions. These computer programinstructions may be loaded onto a general purpose computer, specialpurpose computer, or other programmable data processing apparatus toproduce a machine, such that the instructions which execute on thecomputer or other programmable data processing apparatus create a meansfor implementing the functions specified in the flowchart block orblocks.

These computer program instructions may also be stored in acomputer-readable memory that can direct a computer or otherprogrammable data processing apparatus to function in a particularmanner, such that the instructions stored in the computer-readablememory produce an article of manufacture including computer-readableinstructions for implementing the function specified in the flowchartblock or blocks. The computer program instructions may also be loadedonto a computer or other programmable data processing apparatus to causea series of operational steps to be performed on the computer or otherprogrammable apparatus to produce a computer-implemented process suchthat the instructions that execute on the computer or other programmableapparatus provide steps for implementing the functions specified in theflowchart block or blocks.

Accordingly, blocks of the block diagrams and flowcharts supportcombinations of means for performing the specified functions,combinations of steps for performing the specified functions and programinstruction means for performing the specified functions. It will alsobe understood that each block of the block diagrams and flowcharts, andcombinations of blocks in the block diagrams and flowcharts, can beimplemented by special purpose hardware-based computer systems thatperform the specified functions or steps, or combinations of specialpurpose hardware and computer instructions.

In various instances, this detailed description may refer to contentitems (which may also be referred to as “content,” “content data,”“content information,” “content asset,” “multimedia asset data file,” orsimply “data” or “information”). In some instances, content items cancomprise any information or data that may be licensed to one or moreindividuals (or other entities, such as business or group). In variousembodiments, content may include electronic representations of video,audio, text and/or graphics, which may include but is not limited toelectronic representations of videos, movies, or other multimedia. Insome embodiments, content items may include any combination of theabove-described examples.

In various instances, this detailed disclosure may refer to consumingcontent or to the consumption of content, which may also be referred toas “accessing” content, “providing” content, “viewing” content,“listening” to content, “rendering” content, or “playing” content, amongother things. In some cases, the particular term utilized may bedependent on the context in which it is used. For example, consumingvideo may also be referred to as viewing or playing the video. Inanother example, consuming audio may also be referred to as listening toor playing the audio.

Note that in various instances this detailed disclosure may refer to agiven entity performing some action. It should be understood that thislanguage may in some cases mean that a system (e.g., a computer) ownedand/or controlled by the given entity is actually performing the action.

The present disclosure relates to methods and systems for managingcommunication sessions. A voice enabled device can assist a computingdevice, such as a server, in processing and analyzing a voice input. Thevoice enabled device can use one or more microphones to detect a voiceinput, such as a voice command or audible request/query from a user. Thevoice enabled device can request/initiate a network communicationsession and transmit the voice input to a computing device, such as aserver, for example.

The computing device can receive the voice input (e.g., data indicativeof the voice input) and use natural language processing and/or speechrecognition to classify the voice input as a type of communicationsession (e.g., conversation, etc . . . ) of a plurality of types ofcommunication sessions. For example, the type of communication sessioncan be a type of communication session associated with navigation (e.g.,a request for directions, location information, etc . . . ), a type ofcommunication session associated with commands (e.g., up, down, zoom in,zoom out, select, call “name of contact,” power device on, power deviceoff, etc . . . ), a type of communication session associated withconfirmation (e.g., yes, no, sure, cancel, etc . . . ), a type ofcommunication session associated with detailed voice activity (e.g., arequest for information, a request for content/item analysis, adetailed/extensive request/query, etc . . . ), or any other type ofcommunication session (e.g., conversation, etc . . . ). As describedfurther herein, the computing device can use various methods todetermine a type of communication session. The computing device candetermine any type of communication session. The voice enabled devicecan use the one or more microphones to persistently detect and capturevoice input from the user.

The network communication session between the voice enabled device andthe computing device may not be persistent. For example, the networkcommunication session between the voice enabled device and the computingdevice can be established, terminated, and/or reestablishedintermittently based on a type of communication session (e.g.,conversation, etc . . . ) associated with the voice input. For example,the computing device can determine that a type of communication sessionis associated with commands, such as when the user provides a voiceinput (e.g., says) “guide.” The computing device can determine that thecommand “guide,” is associated with other guide-related commands (e.g.,“scroll up,” “scroll down,” etc . . . ), provideinstructions/information for the voice enabled device to provide anappropriate response to the user, and terminate the networkcommunication session.

Terminating the network communication session improves the performanceof a network by allowing bandwidth allocated for and/or associated withnetwork communication sessions to be reallocated for additional networkcommunication sessions. As such, communication and/or computing overheadwithin a network can be saved, and load balancing within the network canbe improved through an increase of available bandwidth. If the userprovides additional voice input, such as voice input associated with adifferent type of communication session (e.g., conversation, etc . . .), the network communication session can be reestablished.

FIG. 1 shows an example system configured to manage communicationsessions. Those skilled in the art will appreciate that present methodsmay be used in various types of networks and systems that employ bothdigital and analog equipment. One skilled in the art will appreciatethat provided herein is a functional description and that the respectivefunctions can be performed by software, hardware, or a combination ofsoftware and hardware. The network and system can comprise a voiceenabled device 100. The voice enabled device 100 can be a device such asa smart speaker, a system control device, a smart phone, acommunications terminal, a wireless device, and the like. The voiceenabled device 100 can be in communication with a network such as anetwork 105 via a network device 116. The network 105 can be a networksuch as the Internet, a wide area network, a local area network, a Wi-Finetwork, a cellular network, a satellite network, a combination thereof,and the like. Various forms of communications can occur via the network105. The network 105 can comprise wired and wireless communications andcommunication techniques. The network 105 can comprise one or morenetwork device(s) 116. The network device 116 can be configured as awireless access point (WAP) to facilitate a connection to the network105. The network device 116 can be configured to allow one or moredevices (e.g., the voice enabled device 100, a computing device 104,wireless devices, etc . . . ) to connect to a wired and/or wirelessnetwork using Wi-Fi, Bluetooth or any desired method or standard.

The network device 116 can be configured as a local area network (LAN).For example, the network device 116 can comprise a dual band wirelessaccess point. The network device 116 can be configured with a firstservice set identifier (SSID) (e.g., associated with a user network orprivate network) to function as a local network for a particular user orusers. As a further example, the network device 116 can be configuredwith a second service set identifier (SSID) (e.g., associated with apublic/community network or a hidden network) to function as a secondarynetwork or redundant network for connected communication devices (e.g.,the voice enabled device 100, the computing device 104, etc . . . ).

The network device 116 can comprise an identifier 118. As an example,the identifier 118 can be or relate to an Internet Protocol (IP) AddressIPv4/IPv6 or a media access control address (MAC address) or the like.As a further example, the identifiers 118 can be a unique identifier forfacilitating communications on the physical network segment. Theidentifier 118 can be associated with a physical location of the networkdevice 116.

The voice enabled device 100 can be associated with a device identifier108. As an example, the device identifier 108 can be any identifier,token, character, string, or the like, for differentiating one voiceenabled device from another voice enabled device. The device identifier108 can identify voice enabled device 100 as belonging to a particularclass of voice enabled devices. As a further example, the deviceidentifier 108 can comprise information relating to the voice enableddevice 100 such as a manufacturer, a model or type of device, a serviceprovider associated with the voice enabled device 100, a state of thevoice enabled device 100, a locator, and/or a label or classifier. Otherinformation can be represented by the device identifier 108.

The device identifier 108 can comprise an address element 113 and aservice element 112. The address element 113 can comprise or provide aninternet protocol address, a network address, a media access control(MAC) address, an Internet address, or the like. For example, theaddress element 113 can be relied upon to establish a networkcommunication session between the voice enabled device 100, a computingdevice 104, other devices and/or networks. The address element 113 canbe used as an identifier or locator of the voice enabled device 100.

The service element 112 can comprise an identification of a serviceprovider (e.g., Internet service provider, device manufacturer,retailer, etc . . . ) associated with the voice enabled device 100and/or with a class of voice enabled device 100. The class of the voiceenabled device 100 can be related to a type of device, a capability ofdevice, a type of service being provided, and/or a level of service(e.g., business class, service tier, service package, etc.). Forexample, the service element 112 can comprise information relating to orprovided by a communication service provider (e.g., Internet serviceprovider) that is providing or enabling data flow such as communicationservices to the voice enabled device 100. The service element 112 cancomprise information relating to a preferred service provider for one ormore particular services relating to the voice enabled device 100. Theaddress element 113 can be used to identify or retrieve data from theservice element 112, or vice versa. One or more of the address element110 and the service element 112 can be stored remotely from the voiceenabled device 100 and retrieved by one or more devices, such as thevoice enabled device 100 and/or the computing device 104, for example.Other information can be represented by the service element 112.

The voice enabled device 100 can comprise a voice input detection module101 for detecting an audible input, such as a voice input. For example,the voice input detection module 101 can detect a user speaking near thevoice enabled device 100 and the like. The voice input detection module101 can comprise one or more microphones, speakers, combinationsthereof, and the like. The one or more a microphones, speakers,combinations thereof, and the like can receive a voice input and providean audible response or an audible portion of a response to the userbased on the voice input. To provide an audible response or an audibleportion of a response to the user based on the voice input, the voiceenabled device 100 can utilize a storage module 103. The storage module103 can store any type of information such as correlative content thatis associate with types of communication sessions (e.g., conversations,etc . . . ) such as navigation based information, command andconfirmation based information (e.g., information used to controloperation of one or more controllable devices, etc . . . ), combinationsthereof, and the like, for example. The voice enabled device 100 (e.g.,the storage module 103) can be configured with the correlative content.The voice enabled device 100 (e.g., the storage module 103) can receivethe correlative content from another device, such as the computingdevice 104. The correlative content can be used to provide an audibleresponse or an audible portion of a response to the user. For example,the voice enabled device 100 can retrieve and/or access the correlativecontent, convert/map the correlative content to acoustic information(e.g., map correlative/stored text files to acoustic files, etc . . . ),and provide the acoustic information to the user. The voice enableddevice 100 can provide the acoustic information (e.g., convertedcorrelative content, etc . . . ) to the user via one or more speakers(e.g., speakers configured with the voice input detection module 101,etc . . . ).

Further, to provide an audible response or an audible portion of aresponse to the user based on the voice input, the voice enabled device100 can provide/transmit data indicative of the voice input to thecomputing device 104 to be processed. For example, the voice enableddevice 100 can use one or more analog-to-digital conversionmethods/techniques to generate a signal that can be transmitted as dataindicative of the voice input to the computing device 104. The dataindicative of the voice input can be a digitized version of the voiceinput (e.g., audible input, analog input, etc . . . ).

To provide/transmit the data indicative of the voice input to thecomputing device 104, the voice enabled device 100 can use acommunication module 107 to request/establish a network communicationsession with the computing device 104. The communication module 107 cancomprise a transceiver configured for communicating information usingany suitable wireless protocol, for example Wi-Fi (IEEE 802.11),BLUETOOTH®, cellular, satellite, infrared, or any other suitablewireless standard. The communication module 107 can request/establish anetwork communication session with the computing device 104 via thenetwork device 116 in communication with the network 105.

The computing device 104 can be a device such as a server, a cloud-baseddevice, a remote storage device, a remote analysis device, and the like.As such, the computing device 104 can comprise a database 114 forstoring information such as information associated with types ofcommunication sessions (e.g., conversations, etc . . . ). The voiceenabled device 100 or any other device in communication with thecomputing device 104 can request and/or retrieve information from thedatabase 114. Further, the computing device 104 can interact with remoteresources. For example, the computing device 104 can be incommunication, via the network 105, with one or more content sources 127to retrieve and/or transfer information/content based on the dataindicative of the voice input. As such, the computing device 104 can beconfigured as (or disposed at) a central location (e.g., a headend, orprocessing facility), which can receive information/content frommultiple sources (e.g., the content source(s) 127. The content source(s)127 can be configured to provide content (e.g., video, audio, games,applications, data) to a user. The content source(s) 127 can beconfigured to provide streaming media, such as on-demand content (e.g.,video on-demand), content recordings, and/or the like. The contentsource(s) 127 can be managed by third party content providers, serviceproviders, online content providers, over-the-top content providers,and/or the like. The content can be provided via a subscription, byindividual item purchase or rental, and/or the like. The contentsource(s) 127 can be configured to provide the content via a packetswitched network path, such as via an internet protocol (IP) basedconnection. The content can be accessed by users via applications, suchas mobile applications, television applications, set-top boxapplications, gaming device applications, an application configured withthe voice enabled device 100, and/or the like. An example applicationcan be a custom application (e.g., by content provider, for a specificdevice), a general content browser (e.g., web browser), an electronicprogram guide, and/or the like. The computing device 104 can combine thecontent from the multiple sources and can distribute theinformation/content to the voice enabled device 100.

The computing device 104 can process data indicative of a voice inputreceived from the voice enabled device 100. To process the dataindicative of the voice input, the computing device 104 can comprise anatural language processing module 120. The natural language processingmodule 120 can perform natural language processing and/or speech-to-texttranslation, to translate spoken words (e.g., a voice input) into text,other characters, or commands. The natural language processing module120 can apply one or more voice analysis algorithms to the dataindicative of the voice input to extract a word or words (e.g., phrase).The natural language processing module 120 can convert the word or wordsto text and compare the text to correlative content stored in thedatabase 114 to determine a type of communication session associatedwith the voice input. The natural language processing module 120 candetermine a type of communication session of a plurality of types ofcommunication sessions (e.g., conversations, etc . . . ). For example, atype of communication session associated with the voice input can be atype of communication session associated with navigation (e.g., arequest for directions, location information, etc . . . ), a type ofcommunication session associated with commands (e.g., up, down, zoom in,zoom out, select, call “name of contact,” power device on, power deviceoff, etc . . . ), a type of communication session associated withconfirmation (e.g., yes, no, sure, cancel, etc . . . ), a type ofcommunication session associated with detailed voice activity (e.g., arequest for information, a request for content/item analysis, etc . . .), or any other type of communication session (e.g., conversation, etc .. . ). For example, based on speech-to-text translation and/or naturallanguage processing via the natural language module 120, the computingdevice 104, can determine that a user provided a voice input as a query,“what is the address for the hospital?” The natural language module 120can determine the voice input to be a type of communication sessionassociated with navigation because the query contains text such as “whatis” and “the address” that matches at least a portion of storedcorrelative content (e.g., stored in the database 114) such asaddresses, locations, and the like that is associated navigation. Asanother example, based on speech-to-text translation via the naturallanguage module 120, the voice enabled device 100, can determine that auser provided a voice input as the statement “turn on the television.”The natural language module 120 can classify the voice input as a typeof communication session associated with command because the querycontains text such as “turn on” and “the television” that matches atleast a portion of stored correlative content (e.g., stored in thedatabase 114) such as operation commands associated with one or morecontrollable devices.

The computing device 104 can process the data indicative of the voiceinput received from the voice enabled device 100 and classify/determinea type of communication session (e.g., conversation, etc . . . ) by anymethod. For example, the natural language processing module 120 canperform natural language processing and determine that the voice input(e.g., the data indicative of the voice input) comprises a quantity ofphrases that are either less than a threshold or satisfy the threshold.A threshold can be set that dictates that any voice input comprising twoor less phrases of a certain character length can be classified as afirst type of communication session (e.g., a type of communicationsession associated with navigation, a type of communication sessionassociated with confirmation, a type of communication session associatedwith control, etc . . . ). Thus, a voice input comprising three or morephrases of a certain character length can satisfy (e.g., meet and/orexceed) the threshold and be classified as a second type ofcommunication session (e.g., a type of communication session associatedwith natural phrases, a type of communication session associated withdetailed/extensive requests and/or queries, etc . . . ). For example,the voice input can comprise single phrases such as “what is thedirection to the movies?,” “what time is it?,” that are less than athreshold of two phrases. The voice input can comprise multiple phrasessuch as “what year did Matt Damon first begin acting? Was it before1983?,” that satisfies the threshold of two phrases. The computingdevice can determine that the voice input is associated with a firsttype of communication session (e.g., conversation, etc . . . ) when thequantity of phrases is less than the threshold. The computing device candetermine that the voice input is associated with a second type ofcommunication session when the quantity of phrases satisfies or exceedsthe threshold. The computing device 104, based on the voice input, candetermine any number of types of communication session (e.g., aplurality of types of communication sessions).

Based on the type of communication session (e.g., conversation, etc . .. ), the computing device 104 can determine whether the voice inputcan/should be further processed by the computing device 104 or the voiceenabled device 100. The voice enabled device 100 can be configured tonot to further process the voice input (or any voice input(s)). Forexample, based on the type of communication session, the voice enableddevice 100 can/will not process the voice input (or any voice input(s)).The voice enabled device 100 can be configured to not to initiallyprocess the voice input (or any voice input(s)) before providing thevoice input (or any voice input(s)) to the computing device 104. Forexample, the voice enabled device 100 can/will not attempt to processthe voice input (or any voice input(s)). The voice enabled device 100can provide (e.g., provided via a network communication session, etc . .. ) the voice input (or any voice input(s)) to the computing device 104to be processed.

The computing device 104 can process the voice input (or any voiceinput(s)) received from the voice enabled device 100. The computingdevice 104 can determine that the voice input (or any voice input(s))can/should be further processed by the computing device 104 or the voiceenabled device 100. For example, the computing device 104 can classifythe voice input as a type of communication session (e.g., conversation,etc . . . ) associated with detailed voice activity (e.g., a request forinformation, a request for content/item analysis, a detailed/extensiverequest/query, etc . . . ). The computing device 104 can determine thattypes of communication sessions associated with detailed voice activitycan/should be further processed by the computing device 104. Thecomputing device 104 can determine that types of communication sessionsassociated with detailed voice activity can/should be further processedby the computing device 104 because at least a portion of the detailedvoice activity can be associated with and/or requires information thatis associated with one or more content sources (e.g., content source(s)127, a webpage, an online data repository, a search engine, a server,etc . . . ).

The computing device 104 can classify the voice input as a type ofcommunication session (e.g., conversation, etc . . . ) associated withnavigation (e.g., a request for directions, location information, etc .. . ), a type of communication session associated with commands (e.g.,up, down, zoom in, zoom out, select, call “name of contact,” powerdevice on, power device off, etc . . . ), a type of communicationsession associated with confirmation (e.g., yes, no, sure, cancel, etc .. . ), combinations thereof. The computing device 104 can determine thattypes of communication sessions associated with navigation, commands,confirmation, combinations thereof, and/or the like can/should beprocessed by the voice enabled device 100. The computing device 104 candetermine that types of communication sessions associated withnavigation, commands, confirmation, combinations thereof, and/or thelike can/should be processed by the voice enabled device 100 because thetypes of communication sessions can be associated with correlativecontent that can be provided to the voice enabled device 100 by thecomputing device 104 and/or correlative content that is already storedwith (e.g., stored in the storage module 103, etc . . . ) and/orassociated with the voice enabled device 100. The computing device 104can determine that types of communication sessions associated withnavigation, commands, confirmation, combinations thereof, and/or thelike can/should be processed by the voice enabled device 100 because thevoice enabled device 100 possesses sufficient resources (e.g., hardware,software, data, etc . . . ) to process the type of voiceinput/communication session.

The computing device 104 can transmit a signal/instruction to the voiceenabled device 100 to further process the voice input/communicationsession. The signal/instruction transmitted to the voice enabled device100 to further process the voice input can be transmitted/sent via thenetwork communication session. The signal/instructions can cause thevoice enabled device 100 to process the voice input and the networkcommunication session can be terminated. The network communicationsession can be terminated after instructing the voice enabled device 100to process the voice input. Terminating the network communicationsession in this manner conserves resources (e.g., network resources,processing resources, data resources, etc . . . ). Terminating thenetwork communication session enables resources (e.g., bandwidth,communication channels, intermediary communication devices, thecomputing device 104, the voice enabled device 100, etc . . . )associated with the network communication session to be reallocated(e.g., data and/or resources associated with the network communicationsession can be real located by a load balancer or similar device, etc .. . ) and/or reserved.

The voice enabled device 100 can process the voice input. The voiceenabled device 100 can process the voice input by associating/mappingtext derived from the voice input to at least a portion of storedcorrelative content and providing an audible response or an audibleportion of a response to a user associated with the voice input. Forexample, text derived from the voice input to can be associated withand/or matched to the correlative content (e.g., a specific set ofstored voice input types, domains, etc . . . ). If the text derived fromthe voice input cannot be directly associated with and/or matched to thecorrelative content, then the text can be associated with and/or matchedto the correlative content based on a threshold. For example, the textcan be associated with and/or matched to the correlative content if aleast a portion of the text matches the correlative content. The textcan be associated with and/or matched to a plurality of correlativecontent. Each association/match between the text and the respectivecorrelative content of the plurality of correlative content can beranked. The rank can be based on how well the text matches thecorrelative content (e.g., a quantity of similar phrases/characters, etc. . . ). The type of communication session can be determined based onmatches between the text and the correlative content with ahigher/increased rank. As another example, text such as “what is” and“the address” derived from a voice input query “what is the address ofthe movie theatre,” can be determined to match stored correlativecontent (e.g., common query terms associated with navigation, etc . . .). The voice enabled device 100 can retrieve additional storedcorrelative content such as addresses, locations, and the like based onthe match between the text derived from the voice input query and thecorrelative content. The voice enabled device 100 can provide a responsebased on the additional stored correlative content. As another example,text such as “turn on the television,” derived from a voice input query“turn on the television,” can be determined to match at least a portionof stored correlative content associated with one or more operationalcommands. The one or more operational commands can be used to controlone or more functions/services associated with the voice enabled device100. The voice enabled device 100 can execute the one or moreoperational commands. The one or more operational commands can be usedto control one or more controllable devices (e.g., not shown) incommunication with the network 105 or otherwise in communication withthe voice enabled device 100 (e.g., via BLUETOOTH®, infrared, etc . . .). The voice enabled device 100 can use the communication module 107 totransmit one or more operational commands to one or more controllabledevices.

The voice enabled device 100 can determine at any time that it is unableto process the voice input. For example, the voice enabled device 100can determine that at least a portion of the derived text does not matchat least a portion of correlative content. Accordingly, the voiceenabled device 100 can request/initiate another network communicationsession with the computing device 104. The voice enabled device 100 cantransmit at least the portion of the text that does not match at leastthe portion of correlative content to the computing device 104 via thenetwork communication session. The computing device 104 can determineadditional information associated with the portion of the text that doesnot match at least the portion of correlative content. The computingdevice 104 can request/retrieve the additional information (e.g., asearch query response, an answer to a question, etc . . . ) from one ormore content sources, such as the content source(s) 127.

Additionally, when determining a type of communication session (e.g.,conversation, etc . . . ) associated with a voice input based on dataindicative of the voice input received from the voice enabled device100, the computing device 104 can request additional information (e.g.,a search query response, an answer to a question, etc . . . ) from oneor more content sources. The computing device 104 can request/retrievethe additional information from the one or more content sources based onthe type of communication session. For example, if the computing device104 determines that the voice input is associated with a type ofcommunication session associated with detailed voice activity (e.g., arequest for information, a request for content/item analysis, adetailed/extensive request/query, etc . . . ), the computing device 104can request additional data from the content source(s) 127, and afterthe additional information is received, transmit the additionalinformation (e.g., a search query response, an answer to a question, etc. . . ) to the voice enabled device 100. The voice enabled device 100,based on the additional information, can generate/provide an audibleresponse or an audible portion of a response to a user based on thevoice input. For example, the voice enabled device 100 can convert/mapthe additional information to acoustic information (e.g., convert/maptext/data files associated with the additional information to one ormore acoustic files, etc . . . ), and provide the acoustic informationto the user. The voice enabled device 100 can provide the acousticinformation (e.g., converted correlative content, etc . . . ) to theuser via one or more speakers (e.g., speakers configured with the voiceinput detection module 101, etc . . . ).

FIG. 2 is a diagram of an example process for managing communicationsessions. The process can comprise communication over a network betweena user 200, a voice enabled device 202, a cloud-based device 205, and acontent device 206. The user 200 can provide a voice input 201 to thevoice enabled device 202. The voice enabled device 202 (e.g., voiceenabled device 100) can be a smart speaker, a system control device, asmart phone, a communications terminal, a wireless device, and the like,for example. To provide the voice input 201, the user 200 can speak aphrase, command, question, a combination thereof, and the like. Forexample, the user 202 can speak say “what is the address for thehospital?” The voice enabled device 202 can receive the voice input 201via one or more microphones.

The voice enabled device 202 can request/initiate a networkcommunication session 204 (e.g., network communication session, etc . .. ) with the cloud-based device 205. The network communication session204 can comprise Wi-Fi, cellular, satellite, BLUETOOTH®, combinationsthereof, and the like. The voice enabled device 202 can transmit dataindicative of the voice input 201 to the cloud-based device 205 via thenetwork communication session 204. For example, the voice enabled device202 can receive the voice input 201 via the one or more microphones, andthe voice enabled device 202 can use one or more analog-to-digitalconversion methods/techniques to generate a signal that can betransmitted as the data indicative of the voice input 201 to thecloud-based device 205 via the network communication session 204. Thedata indicative of the voice input 201 can be a digitized version of thevoice input 201 (e.g., audible input, analog input, etc . . . ).

The cloud-based device 205 can be a device such as the computing device104, a server, a cloud-based storage device, and the like, for example.The cloud-based device 205 can be configured to use natural languageprocessing to classify voice inputs (e.g., the voice input 201) as atype of communication session (e.g., conversation, etc . . . ) of aplurality of types of communication sessions. For example, thecloud-based device 205 can be configured to classify the voice input 201as a type of communication session associated with navigation becausethe voice input 201 comprises a query term/text such as “what is” and“the address” that matches at least a portion of stored correlativecontent (e.g., stored in a storage/database, stored in the database 114,etc . . . ). The stored correlative content can comprise addresses,locations, and the like. As another example, the cloud-based device 205can use natural language processing to convert voice input 201 to textand compare the text to correlative content based on a threshold. Forexample, the text can be associated with and/or matched to correlativecontent (e.g., a specific set of stored voice input types, domains, etc. . . ). If the text cannot be directly associated with and/or matchedto the correlative content, then text can be associated with and/ormatched to the correlative content if a least a portion of the text(e.g., a threshold portion) matches the correlative content. The textcan be associated with and/or matched to correlative content (e.g., acorpus of data/information, etc . . . ). Each association/match betweenthe text and the respective correlative content of the plurality ofcorrelative content can be ranked. The rank can be based on how well thetext matches the correlative content (e.g., a quantity of similarphrases/characters, etc . . . ).

The cloud-based device 205 can determine that the voice input 201 is atype of communication session can be based on matches between the textand the correlative content with higher/increased rank. The correlativecontent can be any information in storage accessible by the cloud-baseddevice 205. For example, the correlative content can comprise storedcommands/confirmation-based information (e.g., up, down, zoom in, zoomout, select, call “name of contact,” power device on, power device off,yes, no, sure, cancel, etc . . . ), navigation-based information (e.g.,location references, maps, directions, addresses, contact information,etc . . . ), additional information (e.g., dictionary-based information,encyclopedic information, etc . . . ), combinations thereof, and thelike.

The cloud-based device 205 can cause retrieval of an appropriateresponse and/or appropriate information from the correlative content.For example, the cloud-based device 205 can cause retrieval of anappropriate response and/or appropriate information from the correlativecontent after determining that the text such as “what is” and “theaddress” derived from the voice input 201 matches at least a portion ofthe stored correlative content (e.g., common query terms associated withnavigation, etc . . . ). The cloud-based device 205 can retrieve and/orcause retrieval of an appropriate response and/or appropriateinformation from the correlative content. The cloud-based device 205 candetermine that, based on the type of communication session (e.g.,conversation, etc . . . ), that the voice input 201 can/should befurther processed by the voice enabled device 202.

For example, based on the type of communication session (e.g.,conversation, etc . . . ), the cloud-based device 205 can determinewhether the voice input 201 (or any voice input(s)) can/should befurther processed by the cloud-based device 205 or the voice enableddevice 202. The voice enabled device 202 can be configured to not tofurther process the voice input 201 (or any voice input(s)). Forexample, based on the type of communication session, the voice enableddevice 202 can/will not process the voice input 201 (or any voiceinput(s)). The voice enabled device 202 can be configured to not toinitially process the voice input 201 (or any voice input(s)) beforeproviding the voice input 201 (or any voice input(s)) to the cloud-baseddevice 205. For example, the voice enabled device 202 can/will notattempt to process the voice input 201 (or any voice input(s)). Thevoice enabled device 202 can provide (e.g., provided via a networkcommunication session, etc . . . ) the voice input 201 (or any voiceinput(s)) to the cloud-based device 205 to be processed.

The cloud-based device 205 can process the voice input 201 (or any voiceinput(s)) received from the voice enabled device 202. The cloud-baseddevice 205 can determine that the voice input 201 (or any voiceinput(s)) can/should be further processed by the cloud-based device 205or the voice enabled device 202. For example, the cloud-based device 205can classify the voice input 201 as a type of communication sessionassociated with detailed voice activity (e.g., a request forinformation, a request for content/item analysis, a detailed/extensiverequest/query, etc . . . ). The cloud-based device 205 can determinethat types of communication sessions (e.g., conversations, etc . . . )associated with detailed voice activity can/should be further processedby the cloud-based device 205. The cloud-based device 205 can determinethat types of communication sessions associated with detailed voiceactivity can/should be further processed by the cloud-based device 205because at least a portion of the detailed voice activity can beassociated with and/or requires information that is associated with oneor more content sources (e.g., content source(s) 127, a webpage, anonline data repository, a search engine, a server, etc . . . ).

The cloud-based device 205 can classify the voice input 201 (or anyvoice input(s)) as a type of communication session associated withnavigation (e.g., a request for directions, location information, etc .. . ), a type of communication session associated with commands (e.g.,up, down, zoom in, zoom out, select, call “name of contact,” powerdevice on, power device off, etc . . . ), a type of communicationsession associated with confirmation (e.g., yes, no, sure, cancel, etc .. . ), combinations thereof. The cloud-based device 205 can determinethat types of communication sessions associated with navigation,commands, confirmation, combinations thereof, and/or the like can/shouldbe processed by the voice enabled device 202. The cloud-based device 205can determine that types of communication sessions associated withnavigation, commands, confirmation, combinations thereof, and/or thelike can/should be processed by the voice enabled device 202 because thetypes of communication sessions can be associated with correlativecontent that can be provided to the voice enabled device 202 by thecloud-based device 205 and/or correlative content that is already storedwith (e.g., stored in the storage module 103, etc . . . ) and/orassociated with the voice enabled device 202. The cloud-based device 205can determine that types of communication sessions associated withnavigation, commands, confirmation, combinations thereof, and/or thelike can/should be processed by the voice enabled device 202 because thevoice enabled device 202 possesses sufficient resources (e.g., hardware,software, data, etc . . . ) to process the type of voiceinput/communication session.

The cloud-based device 205 can transmit a signal/instruction to thevoice enabled device 202 to further process the voiceinput/communication session. The signal/instruction transmitted to thevoice enabled device 202 to further process the voice input 201 can betransmitted/sent via the network communication session 204. Thesignal/instructions can instruct the voice enabled device 100 to processthe voice input 201 based on stored predetermined information. Thenetwork communication session 204 can be terminated. The networkcommunication session 204 can be terminated after instructing the voiceenabled device 202 to process the voice input 201. Terminating thenetwork communication session can conserve resources (e.g., bandwidth,network resources, processing resources, data resources, etc . . . ).The cloud-based device 205 can terminate the network communicationsession based expiration of a time window. For example, the networkcommunication session can be persisted for the time window. The timewindow can be associated with any duration (e.g., amount of time, etc .. . ). The time window can be associated with the type of communicationsession (e.g., conversation, etc . . . ). The time window can be basedon an amount of time required for the voice enabled device 202 toprocess a previous voice input associated with the type of communicationsession. For example, the cloud-based device 205 can determine an amountof time associated with the voice enable device 202 processing aprevious voice input/type of communication session, and the amount oftime associated with the voice enabled device 202 processing theprevious voice input/type of communication session can be used todetermine the time window. The network communication session can beterminated after the time window expires.

The voice enabled device 202 can process the voice input 201. The voiceenabled device 202 can process the voice input 201 byassociating/mapping text derived from the voice input 201 to at least aportion of stored correlative content and providing an audible responseor an audible portion of a response to a user associated with the voiceinput. For example, text such as “what is” and “the address” derivedfrom a voice input 201 (e.g., “what is the address to the hospital”) canbe determined to match at least a portion of stored correlative content(e.g., common query terms associated with navigation, etc . . . ). Thevoice enabled device 202 can retrieve additional stored correlativecontent such as addresses, locations, and the like based on the matchbetween the text derived from the voice input 201 and the storedcorrelative content. The voice enabled device 202 can provide a response206 based on the stored correlative content and/or additional storedcorrelative content.

At any time, the voice enabled device 202 can determine that it isunable to process voice input (e.g., the voice input 201). For example,the voice enabled device 202 can determine that at least a portion oftext derived from voice input does not match at least a portion ofcorrelative content. The voice enabled device 202 can request/initiateanother network communication session 207 with the cloud-based device205. The voice enabled device 202 can transmit at least the portion ofthe text that does not match at least the portion of correlative contentto the cloud-based device 205 via the network communication session 207.

The cloud-based device 205 can determine additional informationassociated with the portion of the text that does not match at least theportion of correlative content. The cloud-based device 205 canrequest/retrieve the additional information (e.g., a search queryresponse, an answer to a question, etc . . . ) associated with theportion of the text that does not match at least the portion ofcorrelative content from the content source 208 (e.g., content source(s)127). Additionally, the cloud-based device 205 can request additionalinformation (e.g., a search query response, an answer to a question, etc. . . ) from the content source 208 based on a type of communicationsession. For example, when determining a type of communication sessionassociated with a voice input, the cloud-based device 205 can requestadditional information (e.g., a search query response, an answer to aquestion, etc . . . ) from the content source 208 based on the type ofcommunication session. For example, if the cloud-based device 205determines that the voice input is associated with a type ofcommunication session associated with detailed voice activity (e.g., arequest for information, a request for content/item analysis, adetailed/extensive request/query, etc . . . ), the cloud-based device205 can request additional data from the content source 208. Theadditional information can be provided to the voice enabled device 202.The voice enabled device 202, based on the additional information, cangenerate/provide an audible response (e.g., response 206, a search queryresponse, an answer to a question, etc . . . ) or an audible portion ofa response to a user based on the voice input. For example, the voiceenabled device 202 can convert/map the additional information toacoustic information (e.g., convert/map text/data files associated withthe additional information to one or more acoustic files, etc . . . ),and provide the acoustic information to the user. The voice enableddevice 202 can provide the acoustic information (e.g., convertedadditional information, etc . . . ) to the user via one or more speakersconfigured with the voice enabled device 202.

FIG. 3 is a flowchart of an example method 300. At 310, a voice enableddevice (e.g., voice enabled device 100, voice enabled device 202, etc .. . ) can initiate a first network communication session with acomputing device. The voice enabled device can initiate the firstnetwork communication session (e.g., network communication session 204)with the computing device in response to detecting a voice input. Forexample, the voice enabled device can be a smart speaker, a systemcontrol device, a smart phone, a communications terminal, a wirelessdevice, and the like. The voice enabled device can be configured withone or more microphones to detect the voice input. The voice input canbe a spoken (e.g., voice) command or audible query from a user. Thevoice input can be a query (e.g., “what is the address for thehospital?”), a command (e.g., “turn on the television.”), or any othertype of voice input, such as detailed/extensive requests and/or queries,for example. The voice enabled device can initiate the first networkcommunication session with the computing device so that the voice inputcan be processed and the user can be provided an audible response or anaudible portion of a response based on the voice input. A networkcommunication session (e.g., the first network communication session,etc . . . ) can comprises Wi-Fi, cellular, satellite, BLUETOOTH®,combinations thereof, and the like.

At 320, the voice enabled device can transmit data indicative of thevoice input to the computing device. For example, the voice enableddevice can use one or more analog-to-digital conversionmethods/techniques to generate a signal that can be transmitted as thedata indicative of the voice input to the computing device. The dataindicative of the voice input can be a digitized version of the voiceinput (e.g., audible input, analog input, etc . . . ). The voice enableddevice can transmit the data indicative of the voice input to thecomputing device via the first network communication session. Thecomputing device can receive the data indicative of the voice input anddetermine a type of communication session associated with the voiceinput. The type of communication session can be of a plurality of typesof communication sessions such as a type of communication sessionassociated with navigation (e.g., a request for directions, locationinformation, etc . . . ), a type of communication session associatedwith commands (e.g., up, down, zoom in, zoom out, select, call “name ofcontact,” power device on, power device off, etc . . . ), a type ofcommunication session associated with confirmation (e.g., yes, no, sure,cancel, etc . . . ), a type of communication session associated withdetailed voice activity (e.g., a request for information, a request forcontent/item analysis, a detailed/extensive request/query, etc . . . ),combinations thereof, and the like. The computing device can determineany type of communication session (e.g., conversation, etc . . . ). Thecomputing device can determine the type of communication session byapplying speech-to-text translation and/or natural language processingof the data indicative of the voice input. The computing device canapply one or more voice analysis algorithms to the data indicative ofthe voice input to extract a word or words (e.g., phrase). The computingdevice can convert the word or words to text and compare the text tostored correlative content to determine a type of communication sessionassociated with the voice input. For example, the computing device canuse natural language processing to can convert the word or words to textand compare the text to correlative content based on a threshold. Forexample, the text can be associated with and/or matched to correlativecontent (e.g., a specific set of stored voice input types, domains, etc. . . ). If the text cannot be directly associated with and/or matchedto the correlative content, then text can be associated with and/ormatched to the correlative content if a least a portion of the text(e.g., a threshold portion) matches the correlative content. The textcan be associated with and/or matched to a plurality of correlativecontent. Each association/match between the text and the respectivecorrelative content of the plurality of correlative content can beranked. The rank can be based on how well the text matches thecorrelative content (e.g., a quantity of similar phrases/characters, etc. . . ). The type of communication session can be determined based onmatches between the text and the correlative content withhigher/increased rank. The type of communication session (e.g.,conversation, etc . . . ) can be determined by any suitable method.

Based on the type of communication session (e.g., conversation, etc . .. ), the computing device can determine whether the voice input (e.g.,the data indicative of the voice input) can be further processed by thevoice enabled device. For example, the computing device can determinethat voice input can be classified as a type of communication sessionassociated with navigation (e.g., a request for directions, locationinformation, etc . . . ), a type of communication session associatedwith commands (e.g., up, down, zoom in, zoom out, select, call “name ofcontact,” power device on, power device off, etc . . . ), a type ofcommunication session associated with confirmation (e.g., yes, no, sure,cancel, etc . . . ), combinations thereof, and the like can be furtherprocessed by the voice enabled device. Also, the computing device candetermine that voice input can be classified as a type of communicationsession associated with detailed voice activity (e.g., a request forinformation, a request for content/item analysis, a detailed/extensiverequest/query, etc . . . ) should be further processed by the controldevice. Based on the determination that the voice input can be furtherprocessed by voice enabled device, the computing device can transmit asignal/instructions to the voice enabled device to further process thevoice input. The signal/instructions can comprise an indication of atype of communication session, of a plurality of types of communicationsessions, associated with the voice input.

At 330, the voice enabled device can receive an indication of a type ofcommunication session (e.g., conversation, etc . . . ) from a pluralityof types of communication sessions. The voice enabled device canreceive, based on the data indicative of the voice input, the indicationof the type of communication session and correlative content (e.g.,navigational information, one or more commands, content provided by oneor more content sources, etc . . . ) from the computing device. Forexample, the voice enabled device can receive an indication that thevoice input (e.g., “what is the address for the hospital?”) is a type ofcommunication session associated with navigation. Based on theindication of the type of communication session, the voice enableddevice can further process the voice input.

The voice enabled device can the correlative content from the computingdevice. The correlative content can be associated with the indication ofthe type of communication session (e.g., conversation, etc . . . ). Forexample, based on the indication that the voice input is a type ofcommunication session associated with navigation, additional informationcan comprise location-based information such as maps, addresses, globalpositioning information, and the like. The voice enabled device canreceive and process voice inputs at an increased/improved rate byreceiving an indication of a type of communication session and/orcorrelative content from the computing device. For example, the voiceenabled device can receive a current voice input from a usercontemporaneous to the computing device processing data indicative of aprevious voice input to determine a type of communication session and/orcorrelative content associated with the previous voice input. The voiceenabled device and the computing device can share voice input processingresources.

At 340, the voice enabled device can terminate the first networkcommunication session. The voice enabled device can terminate the firstnetwork communication session based on the indication of the type ofcommunication session. For example, the voice enabled device candetermine, based on an indication of a type of communication sessionassociated with navigation, a type of communication session associatedwith one or more commands, a type of communication session associatedwith confirmation, and/or the like, to process the voice input. Thefirst network communication session can be persisted while the voiceenabled device determines to process the voice input, while the voiceenabled device receives correlative content from the computing device toprocess the voice input, and/or while the voice enabled devicedetermines that it has sufficient information/resources (e.g.,correlative content) to process the voice input.

The voice enabled device can terminate the first network communicationsession based expiration of a time window. For example, the firstnetwork communication session can be persisted for the time window. Thetime window can be associated with any duration (e.g., amount of time,etc . . . ). The time window can be associated with the type ofcommunication session. The time window can be based on an amount of timerequired to process a previous voice input associated with a type ofcommunication session. For example, the voice enabled device candetermine an amount of time associated with processing a previous voiceinput/type of communication session, and the amount of time associatedwith processing the previous voice input/type of communication sessioncan be used to determine the time window. The first networkcommunication session can be terminated after the time window expires.

Any time the voice enabled device determines that it is unable toprocess the voice input, such as determining that at least a portion ofthe derived text does not match at least a portion of correlativecontent, the voice enabled device can request/initiate a second networkcommunication session with the computing device. The voice enableddevice can transmit at least the portion of the text that does not matchat least the portion of correlative content to the computing device viathe second network communication session. The computing device candetermine additional information associated with the portion of the textthat does not match at least the portion of correlative content. Todetermine additional information associated with the portion of the textthat does not match at least the portion of correlative content, thecomputing device can request/retrieve the additional information (e.g.,a search query response, an answer to a question, etc . . . ) from oneor more content sources.

At 350, the voice enabled device can determine that at least a portionof the voice input (e.g., the data indicative of the voice input)correlates with at least a portion of the correlative content. Forexample, the voice enabled device can determine that at least a portion(e.g., text derived from the voice input via speech-to-text translationand/or natural language processing) of the voice input correlates withat least a portion of the correlative content by associating at least aportion of the voice input with at least a portion of the correlativecontent and/or additional information received from the computingdevice. The correlative content can be associated with the type ofcommunication session associated with the voice input determined by thecomputing device. For example, text such as “what is” and “the address”derived from a voice input (e.g., “what is the address for thehospital?”) can be determined to match at least a portion of storedcorrelative content associated with navigation (e.g., stored in thedatabase 114) or the additional information, such as addresses,locations, and the like. As another example, based on a scenario wherethe computing device provides an indication that a voice input query,“turn on the television,” is associated with a type of communicationsession associated command, text derived from the voice input query canbe determined to match at least a portion of stored correlative contentassociated with one or more operational commands. The one or moreoperational commands can be used to control one or morefunctions/services associated with the voice enabled device.

At 360, the voice enabled device can cause an output. The voice enableddevice can cause an output based on determining that at least theportion of the data indicative of the voice input correlates with atleast the portion of the correlative content. The output can be anaudible response to the voice input, an execution of a commandassociated with the voice input and/or used to control one or morecontrollable devices, and/or the like. The output can be any type ofoutput associated with the voice input.

FIG. 4 is a flowchart of an example method 400. At 410, a computingdevice (e.g., computing device 104, cloud-based device 205, remotecomputing device, etc . . . ) can receive a request for a networkcommunication session. The computing device can receive the request forthe network communication session from a voice enabled device (e.g., thevoice enabled device 100, the voice enabled device 202, a smart speaker,a system control device, a smart phone, a communications terminal, awireless device, etc . . . ). The request for the network communicationsession can be in response to the voice enabled device detecting a voiceinput from a user. The voice enabled device can detect the voice inputvia one or more microphones configured with the voice enabled device.The voice input can be a voice command or audible request/query from auser. The voice enabled device can initiate/request the networkcommunication session with the computing device in order to process thevoice input and provide an audible response or an audible portion of aresponse to the user based on the voice input.

At 420, the computing device can establish the network communicationsession. The computing device can establish the network communicationsession based on the request for the network communication session. Thenetwork communication session can employ a long-range communicationtechnique, such as cellular, satellite, a combination thereof, and thelike. The network communication session can be a secure networkcommunication session. As such, data (e.g., data indicative of the voiceinput) communicated via the network communication session can beencrypted/decrypted based on one or more security protocols. The networkcommunication session can be based on state information associated withthe voice enabled device, the computing device, or combinations thereof.For example, one or more of the voice enabled device and computingdevice can save information about the session (e.g., a session history,etc . . . ) in order to be able to communicate. The networkcommunication session can be a stateless network communication session,such that the communication consists of independent requests/responses(e.g., independent exchanges) between the voice enabled device and thecomputing device.

At 430, the computing device can receive data indicative of the voiceinput. For example, the voice enabled device can use one or moreanalog-to-digital conversion method/techniques to generate a signal thatcan be transmitted as the data indicative of the voice input to thecomputing device. The data indicative of the voice input can be adigitized version of the voice input (e.g., audible input, analog input,etc . . . ). The computing device can receive the data indicative of thevoice input via the network communication session. If the networkcommunication session and/or data indicative of the voice input aresecured via one or more security protocols, the computing device can useone or more encryption/decryption keys associated with the one or moresecurity protocols to determine the data indicative of the voice input.The computing device can store at least a portion of the data indicativeof the voice input in storage (e.g., database 114, etc . . . ). Thecomputing device can process the data indicative of the voice input. Thecomputing device can process the data indicative of the voice input todetermine a type of communication session associated with the voiceinput.

At 440, the computing device can determine a type of communicationsession (e.g., conversation, etc . . . ) from a plurality of types ofcommunication sessions. The computing device can determine the type ofcommunication session from the plurality of types of communicationsessions based on the data indicative of the voice input. The pluralityof types of communication sessions can comprise a type of communicationsession associated with navigation (e.g., a request for directions,location information, etc . . . ), a type of communication sessionassociated with commands (e.g., up, down, zoom in, zoom out, select,call “name of contact,” power device on, power device off, etc . . . ),a type of communication session associated with confirmation (e.g., yes,no, sure, cancel, etc . . . ), a type of communication sessionassociated with detailed voice activity (e.g., a request forinformation, a request for content/item analysis, a detailed/extensiverequest/query, etc . . . ), combinations thereof, and the like. Thecomputing device can determine any type of communication session. Thecomputing device can determine the type of communication session byapplying speech-to-text translation and/or natural language processingof the data indicative of the voice input. The computing device canapply one or more voice analysis algorithms to the data indicative ofthe voice input to extract a word or words (e.g., phrase). The computingdevice can convert the word or words to text and compare the text tostored correlative content to determine a type of communication sessionassociated with the voice input. For example, the computing device canuse natural language processing to can convert the word or words to textand compare the text to correlative content based on a threshold. Forexample, the text can be associated with and/or matched to correlativecontent (e.g., a specific set of stored voice input types, domains, etc. . . ). If the text cannot be directly associated with and/or matchedto the correlative content, then text can be associated with and/ormatched to the correlative content if a least a portion of the text(e.g., a threshold portion) matches the correlative content. The textcan be associated with and/or matched to a plurality of correlativecontent. Each association/match between the text and the respectivecorrelative content of the plurality of correlative content can beranked. The rank can be based on how well the text matches thecorrelative content (e.g., a quantity of similar phrases/characters, etc. . . ). The type of communication session can be determined based onmatches between the text and the correlative content withhigher/increased rank. The type of communication session can bedetermined by any suitable method.

Based on the type of communication session (e.g., conversation, etc . .. ), the computing device can determine whether the voice input (e.g.,the data indicative of the voice input) can be further processed by thevoice enabled device. For example, the computing device can determinethat voice input can be classified as a type of communication sessionassociated with navigation, a type of communication session associatedwith confirmation, a type of communication session associated withcontrol, combinations thereof, and the like can be further processed bythe voice enabled device. Also, the computing device can determine thatvoice input can be classified as a type of communication sessionassociated with detailed voice activity (e.g., a request forinformation, a request for content/item analysis, a detailed/extensiverequest/query, etc . . . ) should be further processed by the controldevice. The computing device can determine any type of communicationsession and whether the computing device or the voice enabled deviceshould process a voice input based on the type of communication session.

At 450, the computing device can transmit a signal/instructions to thevoice enabled device. The computing device can transmit thesignal/instructions to the voice enabled device based on the type ofcommunication session (e.g., conversation, etc . . . ). Thesignal/instructions can comprise an indication of a type ofcommunication session, of a plurality of types of communicationsessions, associated with the voice input. The signal/instructions caninstruct the voice enabled device to process the voice input. The voiceenabled device can process the voice input (e.g., data indicative of thevoice input) by associating at least a portion (e.g., text derived fromthe voice input via speech-to-text translation and/or natural languageprocessing) of the voice input with at least a portion of correlativecontent. For example, text such as “what is” and “the address” derivedfrom a voice input (e.g., “what is the address for the hospital?”) canbe determined to match at least a portion of stored correlative content(e.g., stored in the database 114) such as addresses, locations, and thelike. As another example, text such as “turn on the television,” derivedfrom a voice input query “turn on the television,” can be determined tomatch at least a portion of stored correlative content associated withone or more operational commands. The one or more operational commandscan be used to control one or more functions/services associated withthe voice enabled device. The voice enabled device can execute the oneor more operational commands. The one or more operational commands canbe used to control one or more controllable devices.

At 460, the computing device can terminate the network communicationsession with the voice enabled device. The computing device canterminate the network communication session based on the determinationthat the voice enabled device can to process the voice input (e.g.,based on the type of communication session). For example, the networkcommunication session can be persisted while the computing devicedetermines the type of communication session and/or whether to processthe voice input based on the type of communication session.

The computing device can terminate the network communication sessionbased expiration of a time window. For example, the networkcommunication session can be persisted for the time window. The timewindow can be associated with any duration (e.g., amount of time, etc .. . ). The time window can be associated with the type of communicationsession. The time window can be based on an amount of time required forthe voice enabled device to process a previous voice input associatedwith the type of communication session. For example, the computingdevice can determine an amount of time associated with the voice enabledevice processing a previous voice input/type of communication session,and the amount of time associated with the voice enabled deviceprocessing the previous voice input/type of communication session can beused to determine the time window. The network communication session canbe terminated after the time window expires.

At any time that the voice enabled device determines that it is unableto process the voice input, such as determining that at least a portionof the derived text does not match at least a portion of correlativecontent, the voice enabled device can request/initiate another networkcommunication session with the computing device. The voice enableddevice can transmit at least the portion of the text that does not matchat least the portion of correlative content to the computing device viathe second network communication session. The computing device candetermine additional information associated with the portion of the textthat does not match at least the portion of correlative content. Todetermine additional information associated with the portion of the textthat does not match at least the portion of correlative content, thecomputing device can request/retrieve the additional information (e.g.,a search query response, an answer to a question, etc . . . ) from oneor more content sources.

FIG. 5 is a flowchart of an example method 500. At 510, a computingdevice (e.g., computing device 104, cloud-based device 205, remotecomputing device, etc . . . ) can receive a request for a networkcommunication session. The computing device can receive the request forthe network communication session from a voice enabled device (e.g., thevoice enabled device 100, the voice enabled device 202, a smart speaker,a system control device, a smart phone, a communications terminal, awireless device, etc . . . ). The request for the network communicationsession can be in response to the voice enabled device detecting a voiceinput from a user. The voice enabled device can initiate/request thenetwork communication session with the computing device in order toprocess the voice input and provide an audible response or an audibleportion of a response to the user based on the voice input. The networkcommunication session can employ a long-range communication technique,such as Wi-Fi, cellular, satellite, a combination thereof, and the like.

At 520, the computing device can establish the network communicationsession. The computing device can establish the network communicationsession based on the request for the network communication session. Thenetwork communication session can be a secure network communicationsession. As such, data (e.g., data indicative of the voice input)communicated via the network communication session can beencrypted/decrypted based on one or more security protocols. The networkcommunication session can be based on state information associated withthe voice enabled device, the computing device, or combinations thereof.For example, one or more of the voice enabled device and computingdevice can save information about the session (e.g., session history) inorder to be able to communicate. The network communication session canbe a state-less network communication session, such that thecommunication consists of independent requests/responses (e.g.,independent exchanges) between the voice enabled device and thecomputing device.

At 530, the computing device can receive data indicative of the voiceinput. For example, the voice enabled device can use one or moreanalog-to-digital conversion methods/techniques to generate a signalthat can be transmitted as the data indicative of the voice input to thecomputing device. The data indicative of the voice input can be adigitized version of the voice input (e.g., audible input, analog input,etc . . . ). The computing device can receive the data indicative of thevoice input via the network communication session. If the networkcommunication session and/or data indicative of the voice input aresecured via one or more security protocols, the computing device can useone or more encryption/decryption keys associated with the one or moresecurity protocols to determine the data indicative of the voice input.The computing device can store at least a portion of the data indicativeof the voice input in storage (e.g., database 114, etc . . . ). Thecomputing device can process the data indicative of the voice input. Thecomputing device can process the data indicative of the voice input todetermine a type of communication session associated with the voiceinput.

At 540, the computing device can determine a type of communicationsession (e.g., conversation, etc . . . ) from a plurality of types ofcommunication sessions. The computing device can determine the type ofcommunication session from the plurality of types of communicationsessions based on the data indicative of the voice input. The pluralityof types of communication sessions can comprise a type of communicationsession associated with navigation (e.g., a request for directions,location information, etc . . . ), a type of communication sessionassociated with commands (e.g., up, down, zoom in, zoom out, select,call “name of contact,” power device on, power device off, etc . . . ),a type of communication session associated with confirmation (e.g., yes,no, sure, cancel, etc . . . ), a type of communication sessionassociated with detailed voice activity (e.g., a request forinformation, a request for content/item analysis, a detailed/extensiverequest/query, etc . . . ). The computing device can determine any typeof communication session. The computing device can determine the type ofcommunication session by applying speech-to-text translation and/ornatural language processing of the data indicative of the voice input.

For example, the computing device can use natural language processing tocan convert the word or words to text and compare the text tocorrelative content based on a threshold. The text can be associatedwith and/or matched to correlative content (e.g., a specific set ofstored voice input types, domains, etc . . . ). If the text cannot bedirectly associated with and/or matched to the correlative content, thetext can be associated with and/or matched to the correlative content ifa least a portion of the text (e.g., a threshold portion) matches thecorrelative content. The text can be associated with and/or matched to aplurality of correlative content. Each association/match between thetext and the respective correlative content of the plurality ofcorrelative content can be ranked. The rank can be based on how well thetext matches the correlative content (e.g., a quantity of similarphrases/characters, etc . . . ). The type of communication session canbe determined based on matches between the text and the correlativecontent with higher/increased rank. The computing device can determinethe type of communication session by other methods.

For example, the computing device can apply one or more voice analysisalgorithms to the data indicative of the voice input to extract a wordor words (e.g., phrase). The computing device can convert the word orwords to text and compare the text to stored correlative content todetermine a type of communication session (e.g., conversation, etc . . .) associated with the voice input. Additionally, the computing devicecan perform natural language processing and determine that the voiceinput comprises a quantity of phrases that are either less than athreshold or satisfy the threshold. For example, a threshold can be setthat dictates that a voice input comprising two or less phrases (or acertain character length) does not satisfy the threshold and can thus beclassified as a first type of communication session (e.g., a type ofcommunication session associated with navigation, a type ofcommunication session associated with confirmation, a type ofcommunication session associated with control, etc . . . ). Thus, avoice input comprising three or more phrases of a certain characterlength can satisfy (e.g., meet and/or exceed) the threshold and beclassified as a second type of communication session (e.g., a type ofcommunication session associated with detailed voice activity (e.g., arequest for information, a request for content/item analysis, adetailed/extensive request/query, etc . . . )). The computing device,based on the voice input, can determine any number of types ofcommunication session (e.g., a plurality of types of communicationsessions). The computing device can determine the type of communicationsession by any suitable method.

Based on the type of communication session (e.g., conversation, etc . .. ), the computing device can determine the voice input classifies as atype of communication session that should be further processed by thecomputing device. For example, the computing device can determine thetype of communication session associated with the voice input is a typeof communication session associated with detailed voice activity (e.g.,a request for information, a request for content/item analysis, adetailed/extensive request/query, etc . . . ) and should thus be furtherprocessed by the control device.

At 550, the computing device can determine information associated withthe voice input (e.g., data indicative of the voice input). Thecomputing device can determine the information associated with the voiceinput based on the type of communication session (e.g., conversation,etc . . . ). For example, if the computing device determines that thevoice input is associated with a type of communication sessionassociated with detailed voice activity (e.g., a request forinformation, a request for content/item analysis, a detailed/extensiverequest/query, etc . . . ), the computing device can request informationassociated with the voice input from a content source (e.g., contentsource(s) 127, content source 208, etc . . . ).

At 560, the computing device can transmit the information associatedwith the voice input (e.g., data indicative of the voice input) to thevoice enabled device. For example, the content source can provide theinformation associated with the voice input (e.g., a search queryresponse, an answer to a question, etc . . . ). The computing device canreceive the information associated with the voice input and transmit theadditional information to the voice enabled device. The computing devicecan terminate the network communication session. For example, thecomputing device can terminate the network communication session aftertransmitting the additional information to the voice enabled device.Terminating the network communication session can enable resources(e.g., communication channels, intermediary communication devices, thecomputing device, the voice enabled device, etc . . . ) associated withthe network communication session to be reallocated (e.g., data and/orresources associated with the network communication session can bereallocated by a load balancer or similar device, etc . . . ) and/orreserved. The voice enabled device, based on the additional information,can generate/provide an audible response or an audible portion of aresponse to a user that is associated with the voice input. For example,the voice enabled device can convert/map the additional information toacoustic information (e.g., convert/map text/data files associated withthe additional information to one or more acoustic files, etc . . . ),and provide the acoustic information to the user. The voice enableddevice can provide the acoustic information (e.g., converted additionalinformation, etc . . . ) to the user via one or more speakers or thelike configured with the voice enabled device.

The methods and systems can be implemented on a computer 601 as shown inFIG. 6 and described below. By way of example, the voice enabled device100, the computing device 104, the voice enabled device 202, and thecloud-based device 205 can be a computer as shown in FIG. 6. Similarly,the methods and systems disclosed can utilize one or more computers toperform one or more functions in one or more locations. FIG. 6 is ablock diagram of an example operating environment for performing thedisclosed methods. This example operating environment is only an exampleof an operating environment and is not intended to suggest anylimitation as to the scope of use or functionality of operatingenvironment architecture. Neither should the operating environment beinterpreted as having any dependency or requirement relating to any oneor combination of components in the example operating environment.

The present methods and systems can be operational with numerous othergeneral purpose or special purpose computing system environments orconfigurations. Examples of well-known computing systems, environments,and/or configurations that can be suitable for use with the systems andmethods comprise, but are not limited to, personal computers, servercomputers, laptop devices, and multiprocessor systems. Additionalexamples comprise set top boxes, programmable consumer electronics,network PCs, minicomputers, mainframe computers, distributed computingenvironments that comprise any of the above systems or devices, and thelike.

The processing of the disclosed methods and systems can be performed bysoftware components. The disclosed systems and methods can be describedin the general context of computer-executable instructions, such asprogram modules, being executed by one or more computers or otherdevices. Generally, program modules comprise computer code, routines,programs, objects, components, data structures, etc. that performparticular tasks or implement particular abstract data types. Thedisclosed methods can also be practiced in grid-based and distributedcomputing environments where tasks are performed by remote processingdevices that are linked through a communications network. In adistributed computing environment, program modules can be located inboth local and remote computer storage media including memory storagedevices.

Further, one skilled in the art will appreciate that the systems andmethods disclosed herein can be implemented via a general-purposecomputing device in the form of a computer 601. The components of thecomputer 601 can comprise, but are not limited to, one or moreprocessors 603, a system memory 612, and a system bus 613 that couplesvarious system components including the one or more processors 603 tothe system memory 612. The system can utilize parallel computing.

The system bus 613 represents one or more of several possible types ofbus structures, including a memory bus or memory controller, aperipheral bus, an accelerated graphics port, or local bus using any ofa variety of bus architectures. By way of example, such architecturescan comprise an Industry Standard Architecture (ISA) bus, a MicroChannel Architecture (MCA) bus, an Enhanced ISA (EISA) bus, a VideoElectronics Standards Association (VESA) local bus, an AcceleratedGraphics Port (AGP) bus, and a Peripheral Component Interconnects (PCI),a PCI-Express bus, a Personal Computer Memory Card Industry Association(PCMCIA), Universal Serial Bus (USB) and the like. The bus 613, and allbuses specified in this description can also be implemented over a wiredor wireless network connection and each of the subsystems, including theone or more processors 603, a mass storage device 604, an operatingsystem 605, communication session classification software 606,correlative data 607, a network adapter 608, the system memory 612, anInput/Output Interface 610, a display adapter 609, a display device 611,and a human machine interface 602, can be contained within one or moreremote computing devices 614 a,b,c at physically separate locations,connected through buses of this form, in effect implementing a fullydistributed system.

The computer 601 typically comprises a variety of computer readablemedia. Example readable media can be any available media that isaccessible by the computer 601 and comprises, for example and not meantto be limiting, both volatile and non-volatile media, removable andnon-removable media. The system memory 612 comprises computer readablemedia in the form of volatile memory, such as random access memory(RAM), and/or non-volatile memory, such as read only memory (ROM). Thesystem memory 612 typically contains data such as the correlative data607 and/or program modules such as the operating system 605 and thecommunication session classification software 606 that are immediatelyaccessible to and/or are presently operated on by the one or moreprocessors 603.

The computer 601 can also comprise other removable/non-removable,volatile/non-volatile computer storage media. By way of example, FIG. 6shows the mass storage device 604 which can provide non-volatile storageof computer code, computer readable instructions, data structures,program modules, and other data for the computer 601. For example andnot meant to be limiting, the mass storage device 604 can be a harddisk, a removable magnetic disk, a removable optical disk, magneticcassettes or other magnetic storage devices, flash memory cards, CD-ROM,digital versatile disks (DVD) or other optical storage, random accessmemories (RAM), read only memories (ROM), electrically erasableprogrammable read-only memory (EEPROM), and the like.

Optionally, any number of program modules can be stored on the massstorage device 604, including by way of example, the operating system605 and the communication session classification software 606. Each ofthe operating system 605 and the communication session classificationsoftware 606 (or some combination thereof) can comprise elements of theprogramming and the communication session classification software 606.The correlative data 607 can also be stored on the mass storage device604. The correlative data 607 can be stored in any of one or moredatabases known in the art. Examples of such databases comprise, DB2®,Microsoft® Access, Microsoft® SQL Server, Oracle®, MySQL, PostgreSQL,and the like. The databases can be centralized or distributed acrossmultiple systems.

The user can enter commands and information into the computer 601 via aninput device (not shown). Examples of such input devices comprise, butare not limited to, a keyboard, pointing device (e.g., a “mouse”), amicrophone, a joystick, a scanner, tactile input devices such as gloves,and other body coverings, and the like These and other input devices canbe connected to the one or more processors 603 via the human machineinterface 602 that is coupled to the system bus 613, but can beconnected by other interface and bus structures, such as a parallelport, game port, an IEEE 1394 Port (also known as a Firewire port), aserial port, or a universal serial bus (USB).

The display device 611 can also be connected to the system bus 613 viaan interface, such as the display adapter 609. It is contemplated thatthe computer 601 can have more than one display adapter 609 and thecomputer 601 can have more than one display device 611. For example, thedisplay device 611 can be a monitor, an LCD (Liquid Crystal Display), ora projector. In addition to the display device 611, other outputperipheral devices can comprise components such as speakers (not shown)and a printer (not shown) which can be connected to the computer 601 viathe Input/Output Interface 610. Any step and/or result of the methodscan be output in any form to an output device. Such output can be anyform of visual representation, including, but not limited to, textual,graphical, animation, audio, tactile, and the like. The display device611 and computer 601 can be part of one device, or separate devices.

The computer 601 can operate in a networked environment using logicalconnections to one or more remote computing devices 614 a,b,c. By way ofexample, a remote computing device can be a personal computer, portablecomputer, smartphone, a server, a router, a network computer, a peerdevice or other common network node, and so on. Logical connectionsbetween the computer 601 and a remote computing device 614 a,b,c can bemade via a network 615, such as a local area network (LAN) and/or ageneral wide area network (WAN). Such network connections can be throughthe network adapter 608. The network adapter 608 can be implemented inboth wired and wireless environments. Such networking environments areconventional and commonplace in dwellings, offices, enterprise-widecomputer networks, intranets, and the Internet.

For purposes of example, application programs and other executableprogram components such as the operating system 605 are shown herein asdiscrete blocks, although it is recognized that such programs andcomponents reside at various times in different storage components ofthe computing device 601, and are executed by the one or more processors603 of the computer. An implementation of the communication sessionclassification software 606 can be stored on or transmitted across someform of computer readable media. Any of the disclosed methods can beperformed by computer readable instructions embodied on computerreadable media. Computer readable media can be any available media thatcan be accessed by a computer. By way of example and not meant to belimiting, computer readable media can comprise “computer storage media”and “communications media.” “Computer storage media” comprise volatileand non-volatile, removable and non-removable media implemented in anymethods or technology for storage of information such as computerreadable instructions, data structures, program modules, or other data.Example computer storage media comprises, but is not limited to, RAM,ROM, EEPROM, flash memory or other memory technology, CD-ROM, digitalversatile disks (DVD) or other optical storage, magnetic cassettes,magnetic tape, magnetic disk storage or other magnetic storage devices,or any other medium which can be used to store the desired informationand which can be accessed by a computer.

The methods and systems can employ Artificial intelligence techniquessuch as machine learning and iterative learning. Examples of suchtechniques include, but are not limited to, expert systems, case basedreasoning, Bayesian networks, behavior based AI, neural networks, fuzzysystems, evolutionary computation (e.g. genetic algorithms), swarmintelligence (e.g. ant algorithms), and hybrid intelligent systems (e.g.Expert inference rules generated through a neural network or productionrules from statistical learning).

While the methods and systems have been described in connection withpreferred embodiments and specific examples, it is not intended that thescope be limited to the particular embodiments set forth, as theembodiments herein are intended in all respects to be example ratherthan restrictive.

Unless otherwise expressly stated, it is in no way intended that anymethod set forth herein be construed as requiring that its steps beperformed in a specific order. Accordingly, where a method claim doesnot actually recite an order to be followed by its steps or it is nototherwise specifically stated in the claims or descriptions that thesteps are to be limited to a specific order, it is in no way intendedthat an order be inferred, in any respect. This holds for any possiblenon-express basis for interpretation, including: matters of logic withrespect to arrangement of steps or operational flow; plain meaningderived from grammatical organization or punctuation; the number or typeof embodiments described in the specification.

It will be apparent to those skilled in the art that variousmodifications and variations can be made without departing from thescope or spirit. Other embodiments will be apparent to those skilled inthe art from consideration of the specification and practice disclosedherein. It is intended that the specification and examples be consideredas example only, with a true scope and spirit being indicated by thefollowing claims.

What is claimed is:
 1. A method, comprising: initiating, based on avoice input, a first network communication session with a computingdevice; sending, to the computing device via the first networkcommunication session, data indicative of the voice input; receiving,from the computing device, based on the data indicative of the voiceinput, an indication of a type of communication session from a pluralityof types of communication sessions and correlative content associatedwith the voice input; terminating, based on the indication of the typeof communication session, the first network communication session;determining that at least a portion of the data indicative of the voiceinput correlates with at least a portion of the correlative content; andcausing, based on determining that at least the portion of the dataindicative of the voice input correlates with at least the portion ofthe correlative content, an output.
 2. The method of claim 1, furthercomprising: initiating, based on determining that at least anotherportion of the data indicative of the voice input does not correlatewith at least the portion of the correlative content, a second networkcommunication session with the computing device; and sending, to thecomputing device via the second network communication session, at leastthe another portion of the data that does not correlate with at leastthe portion of the correlative content.
 3. The method of claim 2,further comprising, determining, by the computing device, informationassociated with at least the another portion of the data that does notcorrelate with at least the portion of the correlative content by one ormore of requesting the information from a content source, retrieving theinformation from storage, or combinations thereof.
 4. The method ofclaim 1, wherein terminating the first network communication sessioncomprises terminating the first network communication session afterexpiration of a time window, wherein the time window is based on anamount of time required to process a previous voice input associatedwith the type of communication session.
 5. The method of claim 1,wherein the plurality of types of communication sessions comprise one ormore of a type of communication session associated with navigation, atype of communication session associated with confirmation, or a type ofcommunication session associated with a request for content.
 6. Themethod of claim 1, wherein associating at least the portion of the dataindicative of the voice input with at least the portion of thecorrelative content comprises: converting the data indicative of thevoice input to text; and comparing the text to at least the portion ofthe correlative content.
 7. The method of claim 1, wherein causing theoutput comprises one or more of generating an audible response to thevoice input, or executing a command associated with the voice input. 8.The method of claim 1, wherein causing the output comprises causing oneor more devices to execute a command associated with the voice input. 9.A method, comprising: receiving, from a voice-enabled device, a requestfor a network communication session; establishing, based on the request,the network communication session; receiving from the voice-enableddevice via the network communication session, data indicative of a voiceinput; determining, based on the data indicative of the voice input, atype of communication session from a plurality of types of communicationsessions; sending, based on the type of communication session, a signaland correlative content to the voice-enabled device, wherein the signalinstructs the voice-enabled device to associate at least a portion ofthe data indicative of the voice input with at least a portion of thecorrelative content; and terminating the network communication session.10. The method of claim 9, wherein terminating the network communicationsession comprises terminating the network communication session afterexpiration of a time window, wherein the time window is based on anamount of time required to associate at least a portion of dataindicative of a previous voice input with at least the portion of thecorrelative content.
 11. The method of claim 9, wherein determining thetype of communication session from the plurality of types ofcommunication sessions comprises: converting the data indicative of thevoice input to text; and comparing the text to the correlative content;and determining that the text matches at least the portion of thecorrelative content that is associated with the type of communicationsession.
 12. The method of claim 9, wherein the plurality of types ofcommunication sessions comprise one or more of a type of communicationsession associated with navigation, a type of communication sessionassociated with confirmation, or a type of communication sessionassociated with a request for content.
 13. The method of claim 9,wherein the signal further causes the voice-enabled device to one ormore of generate an audible response to the voice input, execute acommand associated with the voice input, or cause one or more devices toexecute the command associated with the voice input.
 14. The method ofclaim 10, further comprising: sending, to a load balancer, based onterminating the network communication session, a notification; andreallocating, by the load balancer, to another voice-enabled device, oneor more resources associated with the voice input.
 15. A methodcomprising: receiving, from a voice-enabled device, a request for anetwork communication session; establishing, based on the request, thenetwork communication session; receiving from the voice-enabled devicevia the network communication session, data indicative of a voice input;determining, based on the data indicative of the voice input, a type ofcommunication session from a plurality of types of communicationsessions; determining, based on the type of communication session,information associated with the data indicative of the voice input; andsending the information to the voice-enabled device.
 16. The method ofclaim 15, wherein determining the type of communication session from theplurality of types of communication sessions comprises: processing, vianatural language processing, the data indicative of the voice input;determining, based on the natural language processing, that the dataindicative of the voice input comprises a quantity of phrases that areeither less than a threshold or satisfy the threshold; determining thatthe data indicative of the voice input is a first type of communicationsession when the quantity of phrases is less than the threshold; anddetermining that the data indicative of the voice input is a second typeof communication session when the quantity of phrases satisfies thethreshold.
 17. The method of claim 15, wherein the plurality of types ofcommunication sessions comprise one or more of a type of communicationsession associated with navigation, a type of communication sessionassociated with confirmation, or a type of communication sessionassociated with a request for content.
 18. The method of claim 16,wherein the first type of communication session is a type ofcommunication session associated with navigation and the second type ofcommunication session is a type of communication session associated witha request for content.
 19. The method of claim 15, wherein determiningthe information associated with the data indicative of the voice inputcomprises one or more of requesting the information from a contentsource, retrieving the information from storage, or combinationsthereof.
 20. The method of claim 15 further comprising, causing, basedon the information, the voice-enabled device to one or more of generatean audible response to the voice input, execute a command associatedwith the voice input, or cause one or more devices to execute thecommand associated with the voice input.